Modern enterprises work in highly dynamic environment. Thus, the developing of company strategy is of crucial importance. It determines the surviving of the enterprise and its evolution. Adapting the desired management goal in accordance with the environment changes is a complex problem. In the present paper, an approach for solving this problem is suggested. It is based on predictive control philosophy. The enterprise is modelled as a cybernetic system and the future plant response is predicted by a neural network model. The predictions are passed to an optimization routine, which attempts to minimize the quadratic performance criterion
This research focused on prediction of the state of the enterprise and the artificial neural network...
Due to the abundance and fragmentation of information in the digital economy, the risk management sy...
Organizations operate in turbulent environments. Frequent and unexpected changes in competition, cus...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
It is offered to consider practical aspects of application of neural networks (NN) in the marketing ...
The purpose of the current paper is to present the developed methodology of viable model based enter...
Nowadays, business intelligence (BI) has the top-most priority for the contemporary enterprises. The...
© Medwell Journals, 2016.This study highlights the need to develop economic simulation analysis for ...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
The management of emerging technologies in organizations will continue to be a topic of increasing i...
Artificial Neural Networks (ANNs) have been used in a wide variety of application sectors from credi...
American Society for Engineering Education, ASEEThe concept of learning has invariably been related ...
The content of modern management accounting is formed in conjunction with the rapid development of i...
This research focused on prediction of the state of the enterprise and the artificial neural network...
Due to the abundance and fragmentation of information in the digital economy, the risk management sy...
Organizations operate in turbulent environments. Frequent and unexpected changes in competition, cus...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
It is offered to consider practical aspects of application of neural networks (NN) in the marketing ...
The purpose of the current paper is to present the developed methodology of viable model based enter...
Nowadays, business intelligence (BI) has the top-most priority for the contemporary enterprises. The...
© Medwell Journals, 2016.This study highlights the need to develop economic simulation analysis for ...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Predictive process control is a method of regulation suitable for controlling various types of syste...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
The management of emerging technologies in organizations will continue to be a topic of increasing i...
Artificial Neural Networks (ANNs) have been used in a wide variety of application sectors from credi...
American Society for Engineering Education, ASEEThe concept of learning has invariably been related ...
The content of modern management accounting is formed in conjunction with the rapid development of i...
This research focused on prediction of the state of the enterprise and the artificial neural network...
Due to the abundance and fragmentation of information in the digital economy, the risk management sy...
Organizations operate in turbulent environments. Frequent and unexpected changes in competition, cus...